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3D microenvironments in microwells improve hair follicle stem cell behavior and hair regeneration.

Genomic profiling for myeloid cancers can find important inherited mutations, but it's challenging when these mutations aren't related to the patient's symptoms.

Curly hair's strength and flexibility vary with moisture and temperature.

Reproductive hormones play a crucial role in breast cancer development and treatment challenges.

The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.

Topical Vorinostat shows promise for treating alopecia areata by promoting hair regrowth.

New single-cell analysis techniques are improving our understanding of stem cells and could help in treating diseases.

Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.

Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.

Multi-omics techniques help understand the molecular causes of androgenetic alopecia.

A single robotic system can accurately harvest and implant hair grafts, showing promise for real-world use.

Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.

The study concluded that hair growth in mice is regulated by a stable interaction between skin cell types, and disrupting this can cause hair loss.

A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.

Deep learning models can analyze scalp diseases effectively.

More research with diverse participants is needed to determine the effectiveness of photobiomodulation devices for hair loss treatment.

Testosterone therapy can help postmenopausal women with low sexual desire if monitored carefully.

The EDAR gene greatly affects hair thickness in Asian populations.

The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.

New gene identification techniques have improved the understanding and classification of inherited hair disorders.

The 25Up study collected extensive data on mental disorders and related factors in Australian twins and siblings to investigate the genetics of psychiatric illnesses.

The document provides a method to classify human hair growth stages using a model with human scalp on mice, aiming to standardize hair research.

Fat cells in the skin help start healing and form important repair cells after injury.

The study showed that hair follicle stem cells can maintain and organize themselves in a lab setting, keeping their ability to renew and form hair and skin.

Male pattern baldness is mostly inherited, involves many genes, and is linked to other traits like early puberty and strong bones.

Researchers created LabeledIn, a detailed list of drug uses, showing the importance of human input in making such lists.

Finasteride irreversibly affects human steroid 5α-reductase 2, providing insight into its catalytic mechanism and disease-related mutations.

Ancient Chinese goats evolved cashmere-producing traits due to selective breeding, particularly in genes affecting hair growth.

The CORT, FGF5, and CD36 genes are crucial for the cold weather adaptation of Yanbian cattle.

The African spiny mouse can fully regenerate its muscle without scarring, unlike the common house mouse.